Agent skill · AI & Agents

runtime-adapters

Use when creating Codex, Claude Code, Gemini CLI, Cursor, or AGENTS.md runtime adapters from one canonical agent core. Use whenever a generated repo needs multiple AI runtimes without duplicating instructions.

Agentlas1,166★ · +196/wk · 1 repos on radarProfile →
claude-codeApache-2.0
Install
npx skills add agentlas-ai/Agentlas-OS --skill runtime-adapters --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Path: skills/runtime-adapters/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,165
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Runtime Adapters ## Rules - `AGENTS.md` is canonical. - `.claude/`, `.codex/`, `.gemini/`, `.cursor/`, and root `skills/` are thin adapters or mirrors. - `.agentlas/global-commands.json` records the command each adapter exposes. - Adapter text should point back to `AGENTS.md`. - Do not claim identical behavior across runtimes. Say the canonical core is portable and each adapter maps it into local conventions. ## Required Adapters - Codex: plugin manifest plus skill and `commands/<slug>.md`. - Claude Code: command, agent, and skill adapter under `.claude/commands/`. - Gemini CLI: `GEMINI.md` plus `.gemini/commands/<slug>.toml`. - Generic: root `AGENTS.md` with the command alias documented.

What's inside
Steps it walks through
  1. Rules
  2. Required Adapters
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About this skill
What does the runtime-adapters skill do?

Use when creating Codex, Claude Code, Gemini CLI, Cursor, or AGENTS.md runtime adapters from one canonical agent core. Use whenever a generated repo needs multiple AI runtimes without duplicating instructions.

How do I install it?

Run `npx skills add agentlas-ai/Agentlas-OS --skill runtime-adapters --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From agentlas-ai/Agentlas-OS, a repository with 1,165 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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